The third strategy uses the shared two-layer MLP without activation to map the local and global contextual information. We follow the setting of CBAM [1]}, set the first layer to reduce the input to 1/16 of the original, then calculate the \(confidence\)  with their embeddings as shown below:
\(confidence=\left(W_2\left(W_1\left(lc\right)\right)\right) \times \left(W_2\left(W_1\left(gc\right)\right)\right)\) 
